datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
NuminaMath-CoT
Dataset Card for NuminaMath CoT
Dataset Summary
Approximately 860k math problems, where each solution is formatted in a Chain of Thought (CoT) manner. The sources of the dataset range from Chinese high school math exercises to US and international mathematics olympiad competition problems. The data were primarily collected from online exam paper PDFs and mathematics discussion forums. The processing steps include (a) OCR from the original PDFs, (b) segmentation… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/NuminaMath-CoT.AIME_2024
AIME 2024 Dataset
Dataset Description
This dataset contains problems from the American Invitational Mathematics Examination (AIME) 2024. AIME is a prestigious high school mathematics competition known for its challenging mathematical problems.
Dataset Details
Format: JSONL
Size: 30 records
Source: AIME 2024 I & II
Language: English
Data Fields
Each record contains the following fields:
ID: Problem identifier (e.g., "2024-I-1" represents Problem 1… See the full description on the dataset page: https://huggingface.co/datasets/Maxwell-Jia/AIME_2024.NuminaMath-1.5
Dataset Card for NuminaMath 1.5
Dataset Summary
This is the second iteration of the popular NuminaMath dataset, bringing high quality post-training data for approximately 900k competition-level math problems. Each solution is formatted in a Chain of Thought (CoT) manner. The sources of the dataset range from Chinese high school math exercises to US and international mathematics olympiad competition problems. The data were primarily collected from online exam paper PDFs… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/NuminaMath-1.5.aime_2024
Dataset card for AIME 2024
This dataset consists of 30 problems from the 2024 AIME I and AIME II tests. The original source is AI-MO/aimo-validation-aime, which contains a larger set of 90 problems from AIME 2022-2024.
aime_2025
AIME 2025
This dataset contains 30 problems from the 2025 AIME tests, including:
AIME I: 15 problems
AIME II: 15 problems
aops
AoPS: Art of Problem Solving Competition Mathematics
Dataset Description
This dataset is a collection of 80,661 competition mathematics problems and solutions obtained from the Art of Problem Solving (AoPS) community wiki and forums. It covers a wide range of mathematical contests and olympiads, including problems from events such as AIME, BAMO, IMO, and various national and memorial competitions.
The dataset was curated by AI-MO (Project Numina), an initiative focused on… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/aops.aimo-validation-aime
Dataset Card for AIMO Validation AIME
All 90 problems come from AIME 22, AIME 23, and AIME 24, and have been extracted directly from the AOPS wiki page https://artofproblemsolving.com/wiki/index.php/AIME_Problems_and_Solutions
This dataset serves as an internal validation set during our participation in the AIMO progress prize competition. Using data after 2021 is to avoid potential overlap with the MATH training set.
Here are the different columns in the dataset:
problem: the… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/aimo-validation-aime.aime_2026
Homepage and repository
Homepage: https://matharena.ai/
Repository: https://github.com/eth-sri/matharena
Dataset Summary
This dataset contains the questions from AIME 2026 used for the MathArena Leaderboard
Data Fields
The dataset contains the following fields:
problem_idx (int64): Problem index within the corresponding MathArena benchmark.
answer (int64): Gold final answer.
problem (string): Problem statement, usually stored as LaTeX source.
Source… See the full description on the dataset page: https://huggingface.co/datasets/MathArena/aime_2026.aime_2025
Homepage and repository
Homepage: https://matharena.ai/
Repository: https://github.com/eth-sri/matharena
Dataset Summary
This dataset contains the questions from AIME 2025 used for the MathArena Leaderboard
Data Fields
The dataset contains the following fields:
problem_idx (int64): Problem index within the corresponding MathArena benchmark.
problem (string): Problem statement, usually stored as LaTeX source.
answer (int64): Gold final answer.
problem_type… See the full description on the dataset page: https://huggingface.co/datasets/MathArena/aime_2025.aime24
AIME 24
American Invitational Mathematics Examination (AIME) 2024
Citation
If you use the AIME24 dataset in your research, please consider citing it as follows:
@misc{aime24,
title={American Invitational Mathematics Examination (AIME) 2024},
author={Zhang, Yifan and Math-AI, Team},
year={2024},
}
aimo-validation-amc
Dataset Card for AIMO Validation AMC
All 83 come from AMC12 2022, AMC12 2023, and have been extracted from the AOPS wiki page https://artofproblemsolving.com/wiki/index.php/AMC_12_Problems_and_Solutions
This dataset serves as an internal validation set during our participation in the AIMO progress prize competition. Using data after 2021 is to avoid potential overlap with the MATH training set.
Here are the different columns in the dataset:
problem: the modified problem statement… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/aimo-validation-amc.NuminaMath-TIR
Dataset Card for NuminaMath CoT
Dataset Summary
Tool-integrated reasoning (TIR) plays a crucial role in this competition. However, collecting and annotating such data is both costly and time-consuming. To address this, we selected approximately 70k problems from the NuminaMath-CoT dataset, focusing on those with numerical outputs, most of which are integers. We then utilized a pipeline leveraging GPT-4 to generate TORA-like reasoning paths, executing the code and… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/NuminaMath-TIR.AIME-2024
[!IMPORTANT]
Why this dataset is duplicated:
This dataset actually repeats the AIME 2024 dataset for 32 times to help calculate metrics like Best-of-32.
How we are trying to fix:
verl is supporting specifying sampling times for validation and we will fix it asap.
ai-medical-chatbot
AI Medical Chatbot Dataset
This is an experimental Dataset designed to run a Medical Chatbot
It contains at least 250k dialogues between a Patient and a Doctor.
Playground ChatBot
ruslanmv/AI-Medical-Chatbot
For furter information visit the project here:
https://github.com/ruslanmv/ai-medical-chatbot
AIME_Problem_Set_1983-2024AIME-solutionsaime_2024_I
Homepage and repository
Homepage: https://matharena.ai/
Repository: https://github.com/eth-sri/matharena
Dataset Summary
This dataset contains the questions from AIME I 2024 used for the MathArena Leaderboard
Data Fields
The dataset contains the following fields:
problem_idx (int64): Problem index within the corresponding MathArena benchmark.
problem (string): Problem statement, usually stored as LaTeX source.
answer (int64): Gold final answer.… See the full description on the dataset page: https://huggingface.co/datasets/MathArena/aime_2024_I.aime_1983_2023_deepseek-r1_traces_16384aime_2024_II
Homepage and repository
Homepage: https://matharena.ai/
Repository: https://github.com/eth-sri/matharena
Dataset Summary
This dataset contains the questions from AIME II 2024 used for the MathArena Leaderboard
Data Fields
The dataset contains the following fields:
problem_idx (int64): Problem index within the corresponding MathArena benchmark.
problem (string): Problem statement, usually stored as LaTeX source.
answer (int64): Gold final answer.… See the full description on the dataset page: https://huggingface.co/datasets/MathArena/aime_2024_II.math_aime_2023NuminaMath-LEAN
Dataset Card for NuminaMath-LEAN
Dataset Summary
NuminaMath-LEAN is a large-scale dataset of 100K mathematical competition problems formalized in Lean 4. It is derived from a challenging subset of the NuminaMath 1.5 dataset, focusing on problems from prestigious competitions like the IMO and USAMO. It represents the largest collection of human-annotated formal statements and proofs designed for training and evaluating automated theorem provers. This is also the dataset… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/NuminaMath-LEAN.AIMEfrom datasets import load_dataset
dataset = load_dataset('disco-eth/AIME')
AIME: AI Music Evaluation Dataset
The AIME dataset contains 6,000 audio tracks generated by 12 music generation models in addition to 500 tracks from MTG-Jamendo.
The prompts used to generate music are combinations of representative and diverse tags from the MTG-Jamendo dataset.
The AIME dataset consists of two subsets. The AIME audio dataset and the AIME survey dataset.
The dataset contains the following… See the full description on the dataset page: https://huggingface.co/datasets/disco-eth/AIME.aimo-validation-math-level-5
Dataset Card for AIMO Validation MATH Level 5
A subset of level 5 problems from https://huggingface.co/datasets/lighteval/MATH
We have extracted the final answer from boxed, and only keep those with integer outputs.
aime25aime-2022-2025
Combined AIME 2021-2025 dataset
This dataset is a combination of:
AI-MO/aimo-validation-aime
Sunny8781/AIME2025_w_solution
with the latter being slightly changed to follow AI-MO's format, namely
changing id from str to int and updating ids to follow previous ones
changing answer from int to str and adding starting "0" to 2 digit answers
add urls
note that the AIME 2025 answers contain only a single answer (the first one)
whereas the AIME 2021-2024 answers contain all of them… See the full description on the dataset page: https://huggingface.co/datasets/allenai/aime-2022-2025.AIME_1983_2023numina_162k_amc_aime_problemsDocAttriBench
DocAttriBench (DAB)
Welcome to the official Hugging Face page of the DocAttriBench (DAB) dataset, developed in the paper “DocAttriBench: Benchmarking Answer Grounding in Document Visual Question Answering”, accepted at BMVC 2026 (British Machine Vision Conference).
🌐 Project page: https://aimagelab.github.io/DocAttriBench/
This README provides an overview of the dataset and instructions on how to use it.
📊 Dataset Overview
DocAttriBench is a dataset for training… See the full description on the dataset page: https://huggingface.co/datasets/aimagelab/DocAttriBench.ClimbMix10M
climbmix10M
About
Subsampled version of gvlassis/ClimbMix containing 10,000,000 samples while preserving the original 20-cluster ratio distribution.
Description
This dataset is created by stream-sampling from gvlassis/ClimbMix without downloading the full 553M rows. The sampling preserves the exact ratio distribution across all 20 clusters using the largest-remainder method.
Per-cluster quotas:
cluster_id
topics
documents
ratio
1… See the full description on the dataset page: https://huggingface.co/datasets/aimlresearch2023/ClimbMix10M.r1_annotated_aime